Associates Systems LLC

Experienced in Microsoft Excel (Pivot tables, VLookup, etc.). Experience with common data science toolkits such as Python/R. Excel VBA Programming. Able to obtain and maintain a Top Secret (TS/SCI) clearance per business requirements.. JMP proficiency (SAS statistical tool)

principal data scientist

About this position: We are seeking a data scientist/analyst who will make significant and ongoing contributions to the maturation of our data driven processes. You will be responsible for collecting, processing and presenting information, including actionable insights, from multiple disparate data sets. The ideal candidate possesses both the analytical aptitude and problem solving skillset necessary for extracting value from a collection of novel data sets. In addition to being a highly proficient data analyst, this candidate is expected to foster a data pipeline by engineering analytics that lend themselves to automation and scale. As a function of engaging with stakeholders and taking ownership of outcomes, the candidate can comprehend the general problem space and is confident in socializing, demonstrating, and presenting insights generated from the data. This position requires work on site . Your responsibilities: Analyze multiple data sources in detail to identify trends and patterns using engineering fundamentals. Interpret data, analyze results using statistical techniques and provide ongoing reports. Summarize and socialize data, make conclusions and provide direction on problems identified. Effectively generate ideas and support building tools in order to automate analysis processes. Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics. What you need to be successful in the role: Comfort with requirements-analysis and stake-holder engagement. Strong problem solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable. Solid communication skills (written, verbal, and visual) Ability to communicate data and engineering analysis regarding conclusions that were reached. Ability to create and present data reports to support investigations. Excellent attention to detail. Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques. Prioritization skills to manage work load and make sound decisions for assigned team's data analysis activities. This position can be filled as a Principal Data Scientist OR a Sr. Principal Data Scientist. Qualifications for both are listed below: Basic Qualifications for a Principal Data Scientist: Bachelor's degree in a technical area with 5 years of relevant experience (3 years with technical MS) Experienced in Microsoft Excel (Pivot tables, VLookup, etc.) Knowledge of data gathering, cleansing and transformation techniques Experience with common data science toolkits such as Python/R Excel VBA Programming Able to obtain and maintain a Top Secret (TS/SCI) clearance per business requirements. US Citizenship is a requirement of this. Preferred Qualifications: Product Lifecycle experience Proficient using query languages such as SQL Strong applied statistics skills, such as distributions, statistical testing, regression, etc. JMP proficiency (SAS statistical tool) MATLAB experience Active TS/SCI clearance Basic Qualifications for a Sr. Principal Data Scientist: Bachelor's degree in a technical area with 9 years of relevant experience (7 years with technical MS; 4 years with a PhD in related field) Experienced in Microsoft Excel (Pivot tables, VLookup, etc.) Knowledge of data gathering, cleansing and transformation techniques Experience with common data science toolkits such as Python/R Excel VBA Programming Able to obtain and maintain a Top Secret (TS/SCI) clearance per business requirements. US Citizenship is a requirement of this. Preferred Qualifications: Product Lifecycle experience Proficient using query languages such as SQL Strong applied statistics skills, such as distributions, statistical testing, regression, etc. JMP proficiency (SAS statistical tool) MATLAB experience Active TS/SCI clearance #CJ "
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